Bioinformatics | Semantic Web Nerd | Busy inspiring people to cure diseases with genAI
Nice and comprehensive overview of the rapid advancements in machine learning-driven de novo drug design. It highlights techniques that will disrupt the costly and time-consuming large molecule design process. ArXiv Link: https://lnkd.in/eBVBkYBz
Now that's an interesting read! DYK our tanks can be used in the Chemical Industry? #asmetanks #pressurevessels #ASME #chemicalindustry
A tiny device with a big impact. The organ-on-a-chip technologies use microfluidics to mimic the microarchitecture and functions of living organs, which could revolutionize the drug clinical testing. Curious? Learn more here: http://ms.spr.ly/6048liaCk
A tiny device with a big impact. The organ-on-a-chip technologies use microfluidics to mimic the microarchitecture and functions of living organs, which could revolutionize the drug clinical testing. Curious? Learn more here: http://ms.spr.ly/6048liaCk
Revolutionizing how you handle your microscopy image data Biotech and pharma researchers generate vast amounts of multidimensional data. Analyzing it is a frustrating bottleneck. Read our blog to learn how ZEISS arivis Hub overcomes this challenge and introduces a new level of efficiency that speeds up large-scale image analysis, shortening the time to results and freeing up researchers' time. https://lnkd.in/esvVff-T
Nova Biomedical and Terumo BCT Collaborate on Automated Cell Culture Sensing https://lnkd.in/eNUD9BCE Nova Biomedical and Terumo BCT have entered into a collaboration to enable automated cell culture sensing with Terumo BCT's Quantum Flex Cell Expansion System through integration with Nova's BioProfile FLEX2 Automated Cell Culture Analyzer. By adding the FLEX2's online automated sampling capabilities, it is possible to automatically sample and analyze a wide array of analytes in Quantum Flex and provide data in near-real time, unlocking more efficient process development and control.
Elucidate drug mechanism of action with a range of imaging capabilities from visual confirmation with the eSight to Gen5 high content capabilities. Watch video and find resources. https://bit.ly/3KXukbk #drugdiscovery#drugmoa
Product Marketing Team Lead | Life Science | AI & Cheminformatics in Drug Discovery
Explore the full potential of XtalPi's high-accuracy computational chemistry platform, ID4Gibbs, in our latest episode!
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Nice in depth (and nostalgic) analysis of the new Illumina SmolSeq (🐱) by Keith Robison. Some really insightful points, most importantly IMO that SmolSeq is artfully positioned to create some competitive turbulence for Element Biosciences: "But now, $50K gets a very highly performing machine and $100K one which will fit many startup aspirations. AVITI is still a sweet instrument, but Illumina just made that conversation more complicated." Also, why so shy about a DX version - "But even more surprising is that Illumina didn't outline a clear roadmap for clinical versions of the MiSeq i100 [🐱] - the DX model of the MiSeq received FDA clearance. The simpler workflows and smaller footprint would seem to make MiSeq i100 [🐱] a natural to try to put into pathology labs. So why the hesitancy to outline a path to get these into lucrative clinical markets?"
Accurate biomedical knowledge: Why it’s paramount, yet elusive
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B2B marketing for academia, medical technology, health care & pharma industry that actually makes an impact
Great #AI #microscopy talk by Patrick Schwarb - click the link for the full talk!
Learn more about data lakes in Image Analysis ZEISS arivis HCA solutions are designed to provide you with the tools and capabilities you need to drive groundbreaking discoveries, accelerate drug development, and unlock new frontiers in scientific exploration. Watch the full talk: https://lnkd.in/eexYfWGj
Head of AI/ML for Drug R&D 💡- Bridging Science 🧠, Data 📊, and Technology (AI) 🤖 to Help Life Sciences Companies Bring Better Products 💊 to Market Faster
8moThanks for sharing Helena Deus, PhD . you know what’s funny: I was at a conference last week, and someone talked about the use of AI for small molecules drug design, and he was saying “with Old AI it takes me 3 weeks to get the design / properties that I want, with new AI (read Generative AI) I get the same result in 1 day” … “OldAI” is so 2022 🤣🤣🤣